Data Scientist — Global Services Insights & Analytics, Commercial Banking - Sr. Associate

Data Scientist — Global Services Insights & Analytics, Commercial Banking - Sr. Associate

Join our Global Services Insights & Analytics team and help turn data into decisions that improve how we operate. You'll partner with senior leaders, tackle meaningful business problems, and deliver insights that drive measurable outcomes. This is an opportunity to build scalable analytics solutions, strengthen controls, and elevate service and efficiency across Commercial Banking. If you enjoy hands-on data science and clear storytelling, we'd like to hear from you.

As a

Data Scientist in

Global Services Insights & Analytics

you will lead data-driven initiatives that strengthen planning, efficiency, service, and controls within Commercial Banking. You will work closely with senior stakeholders to frame the right questions, design sound analytical approaches, and translate results into practical recommendations. You will combine statistical methods and machine learning with strong business context to deliver actionable insights. You will help build repeatable solutions that scale and improve performance over time.

In this role, you'll help shape how the team measures success and prioritizes improvement opportunities. You'll balance exploratory analysis with production-ready delivery, and you'll be expected to communicate clearly to technical and non-technical audiences. You'll also collaborate across business and functional partners to align on outcomes, timelines, and data requirements.

Job responsibilities

• Lead analytics and insight-generation initiatives using hands-on data science techniques
• Develop experimental frameworks to support data collection and measurement
• Define analytics approaches using business knowledge, statistical methods, and machine learning techniques
• Build models and data applications that produce actionable insights
• Create clear visualizations and messaging that simplify complex results
• Collaborate with business and functional stakeholders on analytics initiatives
• Translate business needs into well-scoped data solutions and analytical deliverables
• Present insights and recommend next steps to senior stakeholders

Required Qualifications, Capabilities, And Skills

• Three years of data science experience (financial services or commercial banking experience preferred)
• Proficiency in Python, R, and SQL
• Experience applying statistical methodologies to business problems (for example, experimentation, inference, forecasting, or classification)
• Experience building machine learning models and translating outputs into actionable recommendations
• Experience designing repeatable and scalable data solutions
• Experience using analytics tools such as Alteryx or Trifacta
• Experience working with distributed data environments such as Hadoop
• Experience with data visualization tools such as Qlik Sense, Tableau, or D3
• Experience with cloud-based analytics platforms, including Databricks
• Strong written and verbal communication skills, including presenting insights to senior stakeholders

Preferred Qualifications, Capabilities, And Skills

• Deep understanding of large language model techniques, including agents, planning, and reasoning
• Experience building and deploying machine learning models on AWS using tools such as Sage Maker and Amazon Elastic Kubernetes Service (EKS)
• Advanced knowledge of reinforcement learning or meta learning

About Us

JPMorgan

Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility.

These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success.

We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender…